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About

Yogesh Shrivastava is a robotics researcher whose work centers on the design, kinematics, and control of dexterous, tendon-driven robotic hands. His primary contributions lie in developing multi-fingered grippers that mimic human hand functionality, with a focus on resolving kinematic redundancy and optimizing grasping operations. In his most-cited work, "Kinematic analysis of four-fingered tendon actuated robotic hand" (2021, 16 citations), he presents a forward kinematics model for a human-like robotic hand capable of precise object manipulation. Shrivastava further advances the field by determining actuating forces required for stable grasping (6 citations) and analyzing manipulability through statistical approaches (4 citations). His research addresses fundamental challenges in robotic dexterity, including redundancy resolution in straight-line motions (9 citations), which is critical for real-world applications in manufacturing and prosthetics. With a cumulative citation count of 35 across his top papers, Shrivastava’s work is steadily gaining recognition for its practical approach to creating more adaptive and efficient robotic hands. His efforts contribute to the broader goal of achieving human-level dexterity in robotic systems.